Evidence map›Paper›PMID 35996454›Full record

ArticleJournal of affective disorders reports2022

Aggression and violence during the lockdown caused by the COVID-19 pandemic in Kuwait.

Maha Meshari Al-Sejari, Hend Batel Al-Ma'seb

Abstract read
In one paragraph

Article in Journal of affective disorders reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Maha Meshari Al-SejariCollege of Social Sciences, Kuwait University, Kuwait.
Hend Batel Al-Ma'sebCollege of Social Sciences, Kuwait University, Kuwait.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The lives of the global population have been drastically altered since the emergence of the 2019 coronavirus disease (COVID-19) pandemic. These changes comprise their daily lifestyle practices and the professional, and educational systems. In addition to these changes, many psychological illnesses issues have been detected globally. Methods: This study aimed to investigate whether there are significant sociodemographic differences in reported cases of physical and verbal aggression, anger, hostility, and violence among 815 Kuwaiti residents during the lockdown caused by the COVID-19 pandemic. A non-random sample was recruited through the WhatsApp platform. The online survey contained sociodemographic information and 29 self-reported items rated on a Likert scale. In addition to demographic questions, online questionnaires included the Aggression Questionnaire (AQ). Questions regarding violence and COVID-19 infection were included in the online survey. Results: Men, younger people, those who were single or divorced, students, and those with a lower level of education were more likely to report more instances of physical and verbal aggression, as well as hostility. Conclusions: To assist psychologically vulnerable individuals in overcoming the negative effects of the COVID-19 pandemic, it is crucial to develop community-based strategies that are tailored to the specific conditions and cultural traditions of each country. Diverse strategies for mental health support programs administered by social workers and mental health professionals are required to reduce aggression and violence levels. Since this study is a cross-sectional survey conducted during the total lockdown, it is difficult to conclude that the lockdown provoked the escalation of the aggression.

Indexed as

AggressionCOVID-19PandemicSociodemographic variablesViolence

Identifiers

PMID35996454
PMCPMC9385344

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.